Alternatives and similar repositories for MC-GRA:

Users that are interested in MC-GRA are comparing it to the libraries listed below

• tmlr-group / MC-GRA
  [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"
  ☆32Updated last year
• shenlei515 / VHL-paddle
  translation of VHL repo in paddle
  ☆25Updated last year
• warriors-30 / SFAT-paddle
  ☆24Updated last year
• LFhase / GIA-HAO
  [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
  ☆37Updated last year
• AndrewZhou924 / RGIB
  [NeurIPS 2023] Combating Bilateral Edge Noise for Robust Link Prediction
  ☆11Updated last year
• ZFancy / SFAT
  [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
  ☆31Updated last year
• tmlr-group / NoisyRationales
  [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
  ☆34Updated last month
• LoadingByte / are-gnn-defenses-robust
  Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…
  ☆29Updated 2 years ago
• devnkong / GOAT
  Official implementation of GOAT model (ICML2023)
  ☆36Updated last year
• QizhouWang / DOE
  ☆25Updated last year
• IRMBed / IRMBed
  This is the project for IRM methods
  ☆12Updated 3 years ago
• wxr99 / HolisticPU
  Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends [NeurIPS 2023]
  ☆9Updated last year
• ahxt / G2R
  [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction
  ☆26Updated 2 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆52Updated 11 months ago
• zaixizhang / GraphMI
  Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"
  ☆13Updated 3 years ago
• wujcan / GIF-torch
  ☆22Updated 2 years ago
• OPTML-Group / DP4TL
  [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…
  ☆11Updated last year
• NUS-HPC-AI-Lab / GEOM
  Pytorch implementation of ICML-2024 "Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching"
  ☆23Updated 8 months ago
• SongYYYY / KDD22-OODGAT
  This is the implementation of OODGAT from KDD'22: Learning on Graphs with Out-of-Distribution Nodes.
  ☆22Updated 2 years ago
• LFhase / CIGA
  [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
  ☆107Updated last year
• ZFancy / DivOE
  [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"
  ☆11Updated last year
• ybjiaang / ACTIR
  Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"
  ☆16Updated 2 years ago
• TheaperDeng / GNN-Attack-InfMax
  Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem
  ☆18Updated 3 years ago
• conditionWang / Data_Centric_AI_IP_Protection
  This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…
  ☆22Updated last year
• Samyu0304 / LiSA
  Code for Mind the Label Shift of Augmentation-based Graph OOD generalization (LiSA) in CVPR 2023. LiSA is a model-agnostic Graph OOD fram…
  ☆16Updated last year
• ShiYunyi / Meta-Weight-Net_Code-Optimization
  A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.
  ☆59Updated 3 years ago
• sigeisler / robustness_of_gnns_at_scale
  This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).
  ☆30Updated last year
• uiuctml / Localize-and-Stitch
  Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
  ☆23Updated 2 months ago